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马辛, 宁晓琳, 刘劲, 刘刚. 一种平面约束辅助测量的深空探测器自主天文导航方法[J]. 深空探测学报(中英文), 2019, 6(3): 293-300. DOI: 10.15982/j.issn.2095-7777.2019.03.014
引用本文: 马辛, 宁晓琳, 刘劲, 刘刚. 一种平面约束辅助测量的深空探测器自主天文导航方法[J]. 深空探测学报(中英文), 2019, 6(3): 293-300. DOI: 10.15982/j.issn.2095-7777.2019.03.014
MA Xin, NING Xiaolin, LIU Jin, LIU Gang. An Autonomous Celestial Navigation Method for Deep Space Probe Based on Coplanar Constraint Aided Measurement[J]. Journal of Deep Space Exploration, 2019, 6(3): 293-300. DOI: 10.15982/j.issn.2095-7777.2019.03.014
Citation: MA Xin, NING Xiaolin, LIU Jin, LIU Gang. An Autonomous Celestial Navigation Method for Deep Space Probe Based on Coplanar Constraint Aided Measurement[J]. Journal of Deep Space Exploration, 2019, 6(3): 293-300. DOI: 10.15982/j.issn.2095-7777.2019.03.014

一种平面约束辅助测量的深空探测器自主天文导航方法

An Autonomous Celestial Navigation Method for Deep Space Probe Based on Coplanar Constraint Aided Measurement

  • 摘要: 深空探测任务中自主导航测量误差是影响深空探测自主导航系统精度的主要影响因素。针对抑制自主导航测量误差的问题,提出一种平面约束辅助测量的深空探测器自主天文导航方法,该方法在对系统非线性不等式几何平面约束建模的基础上,利用序列二次规划(Sequential Quadratic Programming,SQP)非线性规划方法,对深空探测器自主天文导航系统的非线性不等式约束进行非线性规划,直接辅助减小深空探测器自主导航系统的量测误差;利用CKF-SQP量测优化非线性约束滤波方法,对深空探测器自主导航系统的状态进行估计,进一步减小系统随机误差。仿真结果表明:所提方法可以有效抑制测量误差,实现深空探测器高精度自主导航。该方法可为深空探测器提供一种可行的高精度自主导航方法。

     

    Abstract: Measurement error is the main factor that affects the accuracy of the autonomous navigation system for deep space exploration. In this paper,aiming at restraining the measurement error of autonomous navigation system,an autonomous celestial navigation method of deep space probe based on coplanar constrained auxiliary measurement is proposed. Based on the model of the system nonlinear inequality geometric plane constraints, Sequential Quadratic Programming (SQP) is used to deal with the nonlinear inequality constraints of deep space probe autonomous celestial navigation system,which directly aids in reducing the measurement error of the deep space probe autonomous navigation system. CKF-SQP,nonlinear constrained filtering method with measurement optimization, estimates the states of deep space probe autonomous navigation system to further reduce the system random error. Simulation results show that the proposed method can effectively suppress the measurement error and achieve highprecision autonomous navigation of deep space probes. The method can provide a feasible high-precision autonomous navigation method for deep space probe.

     

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